100+ datasets found
  1. f

    Table1_Research on China's Environmental Governance Mode: Quality Driven or...

    • frontiersin.figshare.com
    docx
    Updated Jun 13, 2023
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    Yubin Ma; Haotian Chen; Yating Zhao; Zhengda Li (2023). Table1_Research on China's Environmental Governance Mode: Quality Driven or Quantity Driven?.docx [Dataset]. http://doi.org/10.3389/fenvs.2022.901936.s001
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    docxAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    Frontiers
    Authors
    Yubin Ma; Haotian Chen; Yating Zhao; Zhengda Li
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    High-quality environmental governance (EG) is closely related to its governance mode. Nevertheless, few studies have examined the EG modes from the dual perspectives of quality and quantity. This article utilizes panel data of 30 Chinese provinces from 2003 to 2020 to research the influence of environmental governance efficiency (EGE) and investment (EGI) on EG through a fixed-effect mode. The outcomes show that China’s EG is driven mainly by quantitative EGI. EGE and EGI show significant geographic regions, economic development levels, resource endowments, and stage heterogeneity to EG. In light of these conclusions, this article argues that the future needs to reasonably allocate EGI based on consideration of the heterogeneity of geographical regions, economic development levels, and resource endowments to optimize EGI structure and increase EGE in each province to achieve high-quality EG.

  2. Index of Watershed integrity (IWI) as an instrument of environmental...

    • catalog.data.gov
    Updated Jun 9, 2025
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    U.S. EPA Office of Research and Development (ORD) (2025). Index of Watershed integrity (IWI) as an instrument of environmental governance of a microwatershed in the Central Mexican Plateau [Dataset]. https://catalog.data.gov/dataset/index-of-watershed-integrity-iwi-as-an-instrument-of-environmental-governance-of-a-microwa
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    Dataset updated
    Jun 9, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    Mexican Plateau
    Description

    Contains raw data and four calculated indexes (Index of Watershed Integrity, Index of Catchment Integrity, Environmental Water Quality Index, and Hydrogeomorphological Index) for the six subunits of the La Laborcilla Microwatershed in the Central Mexican Plateau. This dataset is not publicly accessible because: PI doesn't have access to the most up-to-date data; the Universidad Autonoma de Queretaro is the data steward. Interested parties should contact the author. It can be accessed through the following means: PI doesn't have access to the most up-to-date data, so interested parties should contact the author. Format: Data are stored in Excel spreadsheets. PI doesn't have access to the most up-to-date data, so interested parties should contact the author. This dataset is associated with the following publication: Sarmiento-Martinez, M., S. Leibowitz, M.L. Otte, R. Pineda-Lopez, D.P. Garcia-Tello, H. Luna-Soria, L.I. Medina Pacheco, E. Hernandez Perez, and V.H. Cambron-Sandoval. Index of Watershed Integrity (IWI) of a Central Mexican Plateau Microwatershed: An Instrument of Environmental Governance. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 61(3): e70028, (2025).

  3. a

    Environmental Governance Results

    • hub.arcgis.com
    Updated Jul 14, 2017
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    UN Environment, Early Warning &Data Analytics (2017). Environmental Governance Results [Dataset]. https://hub.arcgis.com/maps/c4072d9331d44f0c8edae9584a7f5b69
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    Dataset updated
    Jul 14, 2017
    Dataset authored and provided by
    UN Environment, Early Warning &Data Analytics
    Area covered
    Description

    A global outlook and outcome of the Environmental Governance programme cycle

  4. s

    Citation Trends for "Scale, Sovereignty, and Strategy in Environmental...

    • shibatadb.com
    Updated Sep 15, 2005
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    Yubetsu (2005). Citation Trends for "Scale, Sovereignty, and Strategy in Environmental Governance" [Dataset]. https://www.shibatadb.com/article/Hu7F8AeE
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    Dataset updated
    Sep 15, 2005
    Dataset authored and provided by
    Yubetsu
    License

    https://www.shibatadb.com/license/data/proprietary/v1.0/license.txthttps://www.shibatadb.com/license/data/proprietary/v1.0/license.txt

    Time period covered
    2001 - 2025
    Variables measured
    New Citations per Year
    Description

    Yearly citation counts for the publication titled "Scale, Sovereignty, and Strategy in Environmental Governance".

  5. n

    2000 Pilot Environmental Sustainability Index (ESI)

    • earthdata.nasa.gov
    • dataverse.harvard.edu
    • +3more
    Updated Dec 31, 2000
    + more versions
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    ESDIS (2000). 2000 Pilot Environmental Sustainability Index (ESI) [Dataset]. http://doi.org/10.7927/H4NK3BZJ
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    Dataset updated
    Dec 31, 2000
    Dataset authored and provided by
    ESDIS
    Description

    The 2000 Pilot Environmental Sustainability Index (ESI) is an exploratory effort to construct an index that measures the ability of a nation's economy to achieve sustainable development, with the long term goal of finding a single indicator for environmental sustainability analagous to that of the Gross Domestic Product (GDP). The index covering 56 countries is a composite measure of the current status of a nation's environmental systems, pressures on those systems, human vulnerability to environmental change, national capacity to respond, and contributions to global environmental stewardship. The index was unveiled at the World Economic Forum's annual meeting, January 2000, Davos, Switzerland. The 2000 Pilot ESI is the result of collaboration among the World Economic Forum (WEF), Yale Center for Environmental Law and Policy (YCELP), and the Columbia University Center for International Earth Science Information Network (CIESIN).

  6. H

    Data from: Invisible Sky, Visible State: Environmental Governance and...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Mar 23, 2022
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    Iza Ding (2022). Invisible Sky, Visible State: Environmental Governance and Political Support in China [Dataset]. http://doi.org/10.7910/DVN/6VR1RV
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 23, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Iza Ding
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.2/customlicense?persistentId=doi:10.7910/DVN/6VR1RVhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.2/customlicense?persistentId=doi:10.7910/DVN/6VR1RV

    Area covered
    China
    Description

    How do political authorities in China respond to mounting environmental problems? Moreover, on what basis do they succeed in securing public approval in the realm of environmental governance? In this study, I argue that local authorities perform "symbolic responsiveness" as a strategy to manage public opinion over environmental issues. Furthermore, symbolic responsiveness is effective in generating public approval, despite the lack of, and sometimes at the expense of appreciable improvement in environmental quality. Data collected in 2014-2015.

  7. UntitledPanel Data Table for Environmental Governance in China, 2019-2021...

    • figshare.com
    xlsx
    Updated Oct 13, 2025
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    Rong Zhang (2025). UntitledPanel Data Table for Environmental Governance in China, 2019-2021 Item [Dataset]. http://doi.org/10.6084/m9.figshare.30343417.v1
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    xlsxAvailable download formats
    Dataset updated
    Oct 13, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Rong Zhang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    The output indicator in the data set is the reduction of pollutants, which is used to construct a DEA model in which all outputs are undesirable outputs.

  8. f

    Table_1_Participatory Use of a Tool to Assess Governance for Sustainable...

    • figshare.com
    docx
    Updated Jun 5, 2023
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    Swetha Peteru; Amy E. Duchelle; Claudia Stickler; Joanna Durbin; Cecilia Luque; Mella Komalasari (2023). Table_1_Participatory Use of a Tool to Assess Governance for Sustainable Landscapes.docx [Dataset]. http://doi.org/10.3389/ffgc.2021.507443.s001
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    docxAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    Frontiers
    Authors
    Swetha Peteru; Amy E. Duchelle; Claudia Stickler; Joanna Durbin; Cecilia Luque; Mella Komalasari
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Sustainable management of resources is crucial for balancing competing livelihood, economic, and environmental goals. Since forests and other systems do not exist in isolation, comprehensive jurisdictional approaches to forest, and land-use governance can help promote sustainability. The ability of jurisdictions to provide evidence of progress toward sustainability is essential for attracting public and private sector investments and maintaining local stakeholder involvement. The Sustainable Landscapes Rating Tool (SLRT) provides a way to assess enabling conditions for jurisdictional sustainability through an evidence-based rating system. We applied this rating tool in 19 states and provinces across six countries (Brazil, Ecuador, Indonesia, Cote d'Ivoire, Mexico, Peru) that are members of the Governors' Climate and Forests Task Force (GCF TF). Each SLRT assessment was completed using publicly available information, interviews with stakeholders in the jurisdiction, and a multi-stakeholder workshop to validate the indicator ratings. This paper explores the effects of stakeholder involvement in the validation process, along with stakeholder perceptions of the tool's usefulness. Our analysis shows that the validation workshops often led to modifications of the indicator ratings, even for indicators originally assessed using publicly available data, highlighting the gap between existence of a policy and its implementation. Also, a more diverse composition of stakeholders at the workshops led to more changes in indicator ratings, which indicates the importance of including different perspectives in compiling and validating the assessments. Overall, most participants agreed that the tool is useful for self-assessment of the jurisdiction and to address coordination gaps. Further, the validation workshops provided a space for discussions across government agencies, civil society organizations (CSOs), producer organizations, indigenous peoples and local community representatives, and researchers about improving policy and governance conditions. Our findings from the analysis of a participatory approach to collecting and validating data can be used to inform future research on environmental governance and sustainability.

  9. r

    Data from: The impacts of trust, cost and risk on collaboration in...

    • researchdata.se
    Updated Jun 1, 2020
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    Örjan Bodin; Lisen Schultz; Ryan Plummer; Derek Armitage; Julia Baird (2020). The impacts of trust, cost and risk on collaboration in environmental governance [Dataset]. http://doi.org/10.5878/y0q4-8w20
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    (5720)Available download formats
    Dataset updated
    Jun 1, 2020
    Dataset provided by
    Stockholm University
    Authors
    Örjan Bodin; Lisen Schultz; Ryan Plummer; Derek Armitage; Julia Baird
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2014 - Jan 1, 2015
    Area covered
    Canada, Sweden
    Description
    1. Collaborative approaches to environmental governance are drawing increased interest in research and practice. In this article we investigate the structure and functioning of actor networks engaged in collaboration.

    2. We specifically seek to advance understanding of how and why collaborative networks are formed as actors engage in addressing two broad classes of collective action problems: coordination and cooperation. It has been proposed that more risk-prone cooperative problems favor denser and more cohesive bonding network structures, whereas less risky coordination problems favor sparser and more centralized bridging structures.

    3. Recent empirical findings however cast some doubts on these assumptions. In building on previous work we propose and evaluate a set of propositions in order to remedy these ambiguities. Our propositions build on the assumption that bridging structures could, if actors’ experience sufficient levels of trust in the collaborative process, adequately support both cooperation and coordination problems.

    4. Our empirical investigation of four UNESCO’s Man and Biosphere Reserves gives initial support for our assumptions, and suggest that bridging structures emerge when actors have trust in the collaborative endeavor, and/or when the cost of collaborative failure is deemed low. While caution is warranted due to data limitations, our findings contribute to improved policies and guidelines on how to stimulate and facilitate more effective collaborative approaches to environmental governance.

    The dataset contains four networks (one per MAB reserve). The data is further described in the published paper. For each network, there are several files. The files are formatted for the program MPnet. One file per network is the sociomatrix (rows and columns are nodes, and the values in the matrix are the links between the nodes). Several other files, per network, contain node attributes (further described in the published paper). The order of the node attributes are the same as in the sociomatrices.

  10. U

    United States Environmental Policy Stringency Index

    • ceicdata.com
    Updated Nov 22, 2021
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    CEICdata.com (2021). United States Environmental Policy Stringency Index [Dataset]. https://www.ceicdata.com/en/united-states/environmental-environmental-policy-stringency-index-oecd-member-annual/environmental-policy-stringency-index
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    Dataset updated
    Nov 22, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2009 - Dec 1, 2020
    Area covered
    United States
    Description

    United States Environmental Policy Stringency Index data was reported at 3.028 NA in 2020. This records an increase from the previous number of 2.917 NA for 2019. United States Environmental Policy Stringency Index data is updated yearly, averaging 1.250 NA from Dec 1990 (Median) to 2020, with 31 observations. The data reached an all-time high of 3.028 NA in 2020 and a record low of 0.833 NA in 1991. United States Environmental Policy Stringency Index data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ESG: Environmental: Environmental Policy Stringency Index: OECD Member: Annual.

  11. H

    Data from: Sustainable environmental governance as the implementation of...

    • dataverse.harvard.edu
    Updated Mar 12, 2025
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    Lilik Muslikhatin; Asep Adang Supriyadi; Lilik Muslikhatin; Asep Adang Supriyadi (2025). Sustainable environmental governance as the implementation of state defense policy [Dataset]. http://doi.org/10.7910/DVN/2TCAXN
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Lilik Muslikhatin; Asep Adang Supriyadi; Lilik Muslikhatin; Asep Adang Supriyadi
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Background: Land waters in urban areas often become a source of problems if they are not managed wisely and firmly. The threat and risk of danger, disease and even death always haunt the people who live on the banks of the river. Poverty and slum areas are negative effects of less than optimal land water management in urban areas. The Indonesian government has taken various steps to address this, but the lack of urban land for settlement is the reason why immigrants from other regions reside and reside in dangerous areas such as riverbanks. The compulsion to live minimally in urban areas is a burden for local governments in their efforts to increase welfare as well as improve sustainable urban governance. Many other cities in developed countries have made efforts to improve inland water areas to alleviate poverty and at the same time beautify the urban landscape. The experts agreed to hold discussions to formulate the best policy steps for sustainable urban governance in Indonesia. Methods: In the process of data analysis and decision making related to sustainable environmental governance as implementation of national defense policy, this article utilizes the Analytical Hierarchy Process (AHP) Data Processing Method. Finding: The results of in-depth discussions and interviews with experts in the field of environment, urban governance, economic experts and poverty management experts from various institutions such as the Ministry of Social Affairs, PUPR Ministry, Spatial Planning and City Planning Services, Academics and also the Military were processed using the Analytical Hierarchy Process (AHP). Conclusion: The best decision alternative will be a recommendation for policy makers regarding sustainable urban governance. Novelty/Originality of this study: This study is relevant to the Analytical Hierarchy Process (AHP) Method to formulate sustainable urban water management policies in Indonesia, involving various experts and related institutions to overcome poverty and improve urban landscapes. Therefore, this study can show policy recommendations based on various aspects and views.

  12. n

    2002 Environmental Sustainability Index (ESI)

    • earthdata.nasa.gov
    Updated Dec 31, 2002
    + more versions
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    ESDIS (2002). 2002 Environmental Sustainability Index (ESI) [Dataset]. http://doi.org/10.7927/H4SB43P8
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    Dataset updated
    Dec 31, 2002
    Dataset authored and provided by
    ESDIS
    Description

    The 2002 Environmental Sustainability Index (ESI) measures overall progress toward environmental sustainability for 142 countries based on environmental systems, stresses, human vulnerability, social and institutional capacity and global stewardship. The addition of a climate change indicator, reduction in number of capacity indicators, and an improved imputation methodology contributed to an improvement from the 2001 ESI. The index was unveiled at the World Economic Forum's annual meeting, January 2002, New York. The 2002 ESI is the result of collaboration among the World Economic Forum (WEF), Yale Center for Environmental Law and Policy (YCELP), and the Columbia University Center for International Earth Science Information Network (CIESIN).

  13. i

    ISIMIP3a landuse input data

    • data.isimip.org
    Updated Jun 7, 2022
    + more versions
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    Jan Volkholz; Sebastian Ostberg (2022). ISIMIP3a landuse input data [Dataset]. http://doi.org/10.48364/ISIMIP.571261.2
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    Dataset updated
    Jun 7, 2022
    Dataset provided by
    ISIMIP Repository
    Authors
    Jan Volkholz; Sebastian Ostberg
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a consistent set of climate impact data across sectors and scales. It also provides a unique opportunity for considering interactions between climate change impacts across sectors through consistent scenarios.
    The ISIMIP3a part of the third simulation round is dedicated to i) impact model evaluation and improvement and ii) detection and attribution of observed impacts according to the framework of IPCC AR5 Working Group II Chapter 18. To this end all simulations are driven by observed socio-economic information combined with either observed (factual) climate data or a detrended (counterfactual) version of the observed climate allowing for the generation of a “no climate change” baseline.
    This data set provides annual maps of various land use categories. In particular it gives annual maps of both rainfed and irrigated areas of total croplands, of 5 crop categories (C3 annual, C3 perennial, C4 annual, C4 perennial and C3 nitrogen fixing crops) and of 15 crop types/categories (C3 annual disaggregated into: rapeseed, rice, temperate cereals, temperate roots, tropical roots, sunflower, others C3 annual; C3 perennial: (no further disaggregation); C3 nitrogen-fixing disaggregated into: groundnut, pulses, soybean, others C3 nitrogen-fixing; C4 annual disaggregated into: maize, tropical cereals; C4 perennial: sugarcane). Furthermore, maps of pastures, managed rangelands and urban areas are provided.
    Data is available for the historical time period: 1850-2021.
    Version 1.1 of this dataset adds the 1901soc scenario with fixed year-1901 direct human influences.
    Version 1.2 adds data for the years 2020 and 2021.

  14. f

    Descriptive statistics of variables.

    • figshare.com
    xls
    Updated Nov 1, 2024
    + more versions
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    Jie Zhang; Jiahui Yang; Feng Zhao (2024). Descriptive statistics of variables. [Dataset]. http://doi.org/10.1371/journal.pone.0303672.t003
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    xlsAvailable download formats
    Dataset updated
    Nov 1, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Jie Zhang; Jiahui Yang; Feng Zhao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The ecological resilience of resource-based cities reflects the resilience of the ecological environment in resource-based areas to recover after resource development activities, and good ecological resilience holds great significance for the sustainability of the development of resource-based cities. Government innovation preferences are a solid foundation for implementing an innovation-driven strategy and an important guarantee for realizing an efficient production mode. (the purpose of the study) Therefore, to investigate whether government innovation preferences can promote the level of ecological resilience in resource-based cities. (sample information and empirical methods) This paper establishes a mediating effect model and a threshold effect model and empirically analyzes 2009–2020 panel data covering 113 resource-based cities in China as an example. (main findings) The results show the following: (1) the primary term of government innovation preferences has a positive effect on the ecological resilience of resource-based cities, and the secondary term has a negative effect, with a decreasing marginal effect. Additionally, the educational level has a mediating effect on the mechanism of the impact of government innovation preferences on the ecological resilience of resource-based cities. (2) The role of government innovation preferences in the ecological resilience of resource-based cities is heterogeneous: The impact of government innovation preferences on the ecological resilience of resource-based cities in the western region is stronger than that in the central region, and the impact of government innovation preferences on the ecological resilience of medium-sized resource-based cities is stronger than that of large resource-based cities. (3) The role of environmental decentralization produces a single threshold effect with a threshold value of 2.3993 in the impact of the mechanism of government innovation preferences on the ecological resilience of resource-based cities. (contributions and policy implications) The results of this paper can provide theoretical support for the government to set a reasonable innovation preference intensity, and they provide a practical guarantee for the central government to give more environmental governance power to local governments.

  15. f

    Variable description and summarized statistics.

    • plos.figshare.com
    bin
    Updated Aug 17, 2023
    + more versions
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    Nengyu Liu; Yue Liu; Xiaofei Yu (2023). Variable description and summarized statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0290255.t001
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    binAvailable download formats
    Dataset updated
    Aug 17, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Nengyu Liu; Yue Liu; Xiaofei Yu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    As environmental problems continue to intensify, public environmental awareness and participation have become key forces in a modernized environmental governance system. Recognizing the importance of public participation in environmental governance, this study explores the influence of public pressure on environmental pollution and its implications for China’s long-term environmental management efforts. Using statistical and internet search data from 284 prefecture-level cities between 2011 and 2020, the study finds that a 1% increase in public environmental concern leads to a 0.009% reduction in pollution. The study also highlights the strengthening effect of government environmental regulation on the impact of public environmental concern. Moreover, regional heterogeneity analysis reveals a stronger effect of public environmental concern in cities facing low economic pressure. The findings of the study provide a reference for the construction of a coordinated and sustainable environmental governance model in China as well as in developing countries.

  16. Actor-Issue Edgelist

    • figshare.com
    txt
    Updated Nov 11, 2021
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    Harrison Fried (2021). Actor-Issue Edgelist [Dataset]. http://doi.org/10.6084/m9.figshare.16992220.v1
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    txtAvailable download formats
    Dataset updated
    Nov 11, 2021
    Dataset provided by
    figshare
    Authors
    Harrison Fried
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Actor-Issue Edgelist

  17. U

    United States Environmental Policy Stringency Index: Technology Support...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Environmental Policy Stringency Index: Technology Support Policies [Dataset]. https://www.ceicdata.com/en/united-states/environmental-environmental-policy-stringency-index-oecd-member-annual/environmental-policy-stringency-index-technology-support-policies
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2009 - Dec 1, 2020
    Area covered
    United States
    Description

    United States Environmental Policy Stringency Index: Technology Support Policies data was reported at 2.000 NA in 2020. This stayed constant from the previous number of 2.000 NA for 2019. United States Environmental Policy Stringency Index: Technology Support Policies data is updated yearly, averaging 1.500 NA from Dec 1990 (Median) to 2020, with 31 observations. The data reached an all-time high of 3.000 NA in 2009 and a record low of 1.000 NA in 2005. United States Environmental Policy Stringency Index: Technology Support Policies data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ESG: Environmental: Environmental Policy Stringency Index: OECD Member: Annual.

  18. n

    2001 Environmental Sustainability Index (ESI)

    • earthdata.nasa.gov
    • cmr.earthdata.nasa.gov
    • +3more
    Updated Dec 31, 2001
    + more versions
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    ESDIS (2001). 2001 Environmental Sustainability Index (ESI) [Dataset]. http://doi.org/10.7927/H4X34VDM
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    Dataset updated
    Dec 31, 2001
    Dataset authored and provided by
    ESDIS
    Description

    The 2001 Environmental Sustainability Index (ESI) utilizes a refined methodology based on the 2000 Pilot ESI effort, to construct an index covering 122 countries that measures the overall progress towards environmental sustainability. The index is a composite measure of the current status of a nation's environmental systems, pressures on those systems, human vulnerability to environmental change, national capacity to respond, and contributions to global environmental stewardship. The refinements included the addition and deletion of indicators, filling gaps in data coverage, new data sets, and the modification of the aggregation scheme. The index was unveiled at the World Economic Forum's annual meeting, January 2001, Davos, Switzerland. The 2001 ESI is the result of collaboration among the World Economic Forum (WEF), Yale Center for Environmental Law and Policy (YCELP), and the Columbia University Center for International Earth Science Information Network (CIESIN).

  19. H

    Replication Data for: Greenwashing and Public Demand for Government...

    • datasetcatalog.nlm.nih.gov
    Updated Aug 30, 2022
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    Kolcava, Dennis (2022). Replication Data for: Greenwashing and Public Demand for Government Regulation [Dataset]. http://doi.org/10.7910/DVN/HOT20S
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    Dataset updated
    Aug 30, 2022
    Authors
    Kolcava, Dennis
    Description

    These files replicate the analysis in Kolcava, D (forthcoming), Greenwashing and Public Demand for Government Regulation, Journal of Public Policy Environmental governance in many high-income democracies relies to some extent on self-regulation by the private sector. Yet, this policy mode is contested and proponents of top-down government regulation argue that voluntary corporate sustainability commitments remain shallow and rarely are more than greenwashing. I assess to what extent firms’ business conduct is subject to societal checks and balances, in particular, whether public support for regulation constitutes a control mechanism of corporate contributions to environmental goods. I rely on an original survey experiment (N=2112) conducted with a representative sample of the Swiss voting population. The analysis shows that accusing firms of greenwashing reduces both citizens’ perceived effectiveness of self-regulation and perceived synergy of corporate profits and environmental protection. However, this attitudinal shift only translates into modest updates in respondents’ policy preference formation. As a result, short-run shifts in public support for regulation are an unlikely societal control mechanism of business conduct.

  20. d

    EnvironmentalPolicyMonthly 20240126080015

    • data.gov.tw
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    Ministry of Environment, EnvironmentalPolicyMonthly 20240126080015 [Dataset]. https://data.gov.tw/en/datasets/9049
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    Dataset authored and provided by
    Ministry of Environment
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    This publication will provide domestic environmental regulations and future policy trends through professional reporting and translation into English. It aims to facilitate understanding of our country's environmental governance and promote the achievements of our environmental governance and the popularization of environmental policies through the publication of printed magazines and posting on the Internet. The magazine will be issued monthly. However, starting in December 2020, due to business adjustments, this dataset will no longer be updated. Instead, a new dataset, named Major Environmental Policies, will be established.

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Yubin Ma; Haotian Chen; Yating Zhao; Zhengda Li (2023). Table1_Research on China's Environmental Governance Mode: Quality Driven or Quantity Driven?.docx [Dataset]. http://doi.org/10.3389/fenvs.2022.901936.s001

Table1_Research on China's Environmental Governance Mode: Quality Driven or Quantity Driven?.docx

Related Article
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docxAvailable download formats
Dataset updated
Jun 13, 2023
Dataset provided by
Frontiers
Authors
Yubin Ma; Haotian Chen; Yating Zhao; Zhengda Li
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
China
Description

High-quality environmental governance (EG) is closely related to its governance mode. Nevertheless, few studies have examined the EG modes from the dual perspectives of quality and quantity. This article utilizes panel data of 30 Chinese provinces from 2003 to 2020 to research the influence of environmental governance efficiency (EGE) and investment (EGI) on EG through a fixed-effect mode. The outcomes show that China’s EG is driven mainly by quantitative EGI. EGE and EGI show significant geographic regions, economic development levels, resource endowments, and stage heterogeneity to EG. In light of these conclusions, this article argues that the future needs to reasonably allocate EGI based on consideration of the heterogeneity of geographical regions, economic development levels, and resource endowments to optimize EGI structure and increase EGE in each province to achieve high-quality EG.

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